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荧光光谱法检测角膜晚期糖基化终末产物研究
引用本文:谢学炜,钟豪臣,陈真诚,何敏,朱健铭. 荧光光谱法检测角膜晚期糖基化终末产物研究[J]. 光谱学与光谱分析, 2021, 41(4): 1055-1059. DOI: 10.3964/j.issn.1000-0593(2021)04-1055-05
作者姓名:谢学炜  钟豪臣  陈真诚  何敏  朱健铭
作者单位:桂林电子科技大学电子工程与自动化学院,广西 桂林 541004;桂林电子科技大学生命与环境科学学院,广西 桂林 541004
基金项目:广西高等学校千名中青年骨干教师培育计划项目(第二期);广西科技基地和人才专项(2018AD09002);广西自然科学基金青年基金项目(2016GXNSFBA380145);国家重点研发计划项目(2016YFC1305703);广西自动检测技术与仪器重点实验室基金项目(YQ20112)资助。
摘    要:晚期糖基化终末产物(AGEs)是一种结构多样的化合物,在人体血糖高于正常范围时,会大量产生且不能通过自身代谢降解,具有血糖长期异常的记忆作用.研究表明AGEs是引起糖尿病及其并发症的重要因素之一,通过检测体内AGEs的积累情况可以预测糖尿病及其并发症的发生和发展进程.现有的离体AGEs检测方法存在操作复杂、时间较长、成...

关 键 词:角膜  晚期糖基化终末产物(AGEs)  荧光光谱  无创检测
收稿时间:2020-04-02

Detection of Advanced Glycosylation End Products by FluorescenceSpectroscopy
XIE Xue-wei,ZHONG Hao-chen,CHEN Zhen-cheng,HE Min,ZHU Jian-ming. Detection of Advanced Glycosylation End Products by FluorescenceSpectroscopy[J]. Spectroscopy and Spectral Analysis, 2021, 41(4): 1055-1059. DOI: 10.3964/j.issn.1000-0593(2021)04-1055-05
Authors:XIE Xue-wei  ZHONG Hao-chen  CHEN Zhen-cheng  HE Min  ZHU Jian-ming
Affiliation:1. College of Life and Environment Science, Guilin University of Electronic Technology, Guilin 541004, China2. College of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China
Abstract:Advanced glycation end products(AGEs)are a kind of compounds with various structures.When the blood sugar is higher than a normal value,it will be produced in large quantities and cannot be metabolized by the body’s own metabolism,and has a memory function of long-term abnormal blood sugar.Studies have shown that AGEs is one of the important factors causing diabetes and its complications.By detecting the accumulation of AGEs in vivo,the occurrence and development of diabetes and its complications can be predicted.The existing in vitro AGEs detection methods have problems of complicated operation,long detection time,high cost and difficulty in promotion;The in vivo AGEs detection methods have problems such as skin pigmentation,age,and hemoglobin interference.Therefore,based on the good optical properties of the cornea and the autofluorescence characteristics of AGEs,a fluorescence spectroscopic detection method for advanced glycation end products of the cornea was proposed.A set of corneal AGEs fluorescence spectrum detection system was constructed.The system consisted of microfiber spectrometer,integrated LED excitation light source,Y-type 12+1 fiber and PC-side spectral processing display software.The fluorescence spectrum detection system was used to collect data from 17 volunteers(9 males,8 females,4 diabetics,the youngest 15 years old and the oldest 81 years old)in darkroom conditions.The fluorescence spectrum data that excitation light central wavelengths were 370 and 395 nm were obtained.In order to accurately identify the useful information of fluorescence spectrum,the required fluorescence spectrum data segments(450~700 nm)were intercepted,and then processed them by removing background noise,normalization,wavelet transform,and so on.The above methods could amplify and identify the non-obvious fluorescence peaks in the fluorescence spectrum.The experimental results show that the fluorescence spectrum of corneal is detected within 420~600 nm when the LEDs with wavelengths of 370 and 395 nm are used as excitation sources.Moreover,the fluorescence spectra have peaks in the range of 450~500,500~550 and 550~600 nm,respectively.According to the principle that the fluorescence peak of fluorescent substances is independent of the excitation wavelength,it is shown that the fluorescence spectra of two different excitation wavelengths are all produced by AGEs.The peak fluorescence intensity of diabetes mellitus patients and normal people were analyzed.The results showed that the fluorescence intensity of diabetes mellitus patients was significantly higher than that of normal people,which indicated that it was feasible to detect advanced glycation end products of the cornea by fluorescence spectroscopy.
Keywords:Cornea  Advanced glycation end products(AGEs)  Fluorescence spectroscopy  Noninvasive detection
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